from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_  : Optional[int]								=					logging.get_logger(__name__)

lowercase_  : Any								=					{
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}






class 		_lowerCamelCase		( UpperCamelCase_     ):
    __a						=   "biogpt"
    def __init__(	self			,			lowerCAmelCase=42384			,			lowerCAmelCase=1024			,			lowerCAmelCase=24			,			lowerCAmelCase=16			,			lowerCAmelCase=4096			,			lowerCAmelCase="gelu"			,			lowerCAmelCase=0.1			,			lowerCAmelCase=0.1			,			lowerCAmelCase=1024			,			lowerCAmelCase=0.02			,			lowerCAmelCase=1e-12			,			lowerCAmelCase=True			,			lowerCAmelCase=True			,			lowerCAmelCase=0.0			,			lowerCAmelCase=0.0			,			lowerCAmelCase=1			,			lowerCAmelCase=0			,			lowerCAmelCase=2			,			**lowerCAmelCase			,			)							->       Optional[Any]:
     SCREAMING_SNAKE_CASE__: str=   vocab_size
     SCREAMING_SNAKE_CASE__: Optional[int]=   max_position_embeddings
     SCREAMING_SNAKE_CASE__: Tuple=   hidden_size
     SCREAMING_SNAKE_CASE__: Any=   num_hidden_layers
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   num_attention_heads
     SCREAMING_SNAKE_CASE__: List[Any]=   intermediate_size
     SCREAMING_SNAKE_CASE__: str=   hidden_act
     SCREAMING_SNAKE_CASE__: Tuple=   hidden_dropout_prob
     SCREAMING_SNAKE_CASE__: Dict=   attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE__: Any=   initializer_range
     SCREAMING_SNAKE_CASE__: Dict=   layer_norm_eps
     SCREAMING_SNAKE_CASE__: Optional[int]=   scale_embedding
     SCREAMING_SNAKE_CASE__: Optional[Any]=   use_cache
     SCREAMING_SNAKE_CASE__: Optional[int]=   layerdrop
     SCREAMING_SNAKE_CASE__: Dict=   activation_dropout
     super().__init__(pad_token_id=lowerCAmelCase			,			bos_token_id=lowerCAmelCase			,			eos_token_id=lowerCAmelCase			,			**lowerCAmelCase )



"""simple docstring"""






def __magic_name__	(				_lowerCamelCase:		Tuple,					_lowerCamelCase:		Any			)					->						Optional[Any]:

	'''simple docstring'''




	lowerCAmelCase												=  [1]
	for i in range(2,					_lowerCamelCase			):
		factorials.append(factorials[-1] * i			)
	assert 0 <= k < factorials[-1] * n, "k out of bounds"

	lowerCAmelCase												=  []
	lowerCAmelCase												=  list(range(_lowerCamelCase			)			)

	# Find permutation
	while factorials:
		lowerCAmelCase												=  factorials.pop()
		lowerCAmelCase							,       lowerCAmelCase												=  divmod(_lowerCamelCase,					_lowerCamelCase			)
		permutation.append(elements[number]			)
		elements.remove(elements[number]			)
	permutation.append(elements[0]			)

	return permutation


if __name__ == "__main__":
					import doctest

					doctest.testmod()


